Stephen Roberts
20 papers · 2012–2024 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(17)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π
Trend Setter
ποΈ
Keyword Collector
(93)
π₯
Unstoppable
(9)
π
Century Club
(20)
Conferences
ICML (8)
AISTATS (7)
JMLR (4)
UAI (1)
Top co-authors
Keywords
gaussian process
(8)
variational inference
(3)
model-based reinforcement learning
(3)
adversarial robustness
(3)
bayesian optimisation
(2)
uncertainty quantification
(2)
branch and bound
(2)
point process
(2)
learning rate
(2)
probabilistic model
(2)
bayesian inference
(2)
world model
(2)
poisson process
(2)
continuous control
(2)
markov chain monte carlo
(2)
bayesian quadrature
(2)
variational autoencoder
(2)
kernel learning
(1)
hyperparameter optimization
(1)
sample efficiency
(1)
Papers
Iterate Averaging in the Quest for Best Test Error
JMLR 2024
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
ICML 2022
Marginalising over Stationary Kernels with Bayesian Quadrature
AISTATS 2022
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
JMLR 2022
Adversarial Robustness Guarantees for Gaussian Processes
JMLR 2022
Learning Bijective Feature Maps for Linear ICA
AISTATS 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
ICML 2021
Towards tractable optimism in model-based reinforcement learning
UAI 2021
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
AISTATS 2021
Ready Policy One: World Building Through Active Learning
ICML 2020
Adversarial Robustness Guarantees for Classification with Gaussian Processes
AISTATS 2020
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
ICML 2020
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation
ICML 2019
Optimization, fast and slow: optimally switching between local and Bayesian optimization
ICML 2018
Distribution of Gaussian Process Arc Lengths
AISTATS 2017
Latent Point Process Allocation
AISTATS 2016
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes
ICML 2015
Variational Inference for Gaussian Process Modulated Poisson Processes
ICML 2015
Efficient State-Space Inference of Periodic Latent Force Models
JMLR 2014
Bayesian Quadrature for Ratios
AISTATS 2012